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library(rjson)
library(dplyr)

jobs_2020 = fromJSON(file = "indeed_job_descs_2020_09_20.json")
jobs_2021 = fromJSON(file = "indeed_job_descs_2021_01_25.json")

This first code block works

jobs_df = data.frame("Job", "State", "Employment", 
                     "description", 2020)

names(jobs_df) = c("Job","State","Employment", "Description", "Year")

for(i in 1:length(jobs_2020)) {
  job = jobs_2020[[i]]$request_params[1]
  state = jobs_2020[[i]]$request_params[2]
  employment = jobs_2020[[i]]$request_params[3]
  year = 2020
  
  #print(i)
  
  for(j in 1:length(jobs_2020[[i]]$job_descriptions)) {
    descript = jobs_2020[[i]]$job_descriptions[j]
    temp_df = as.data.frame(c(job,state,employment, descript, year))
    names(temp_df) = c("Job","State","Employment", "Description", "Year")
    jobs_df = rbind(jobs_df, temp_df)
    #print(j)
  }
}


head(jobs_df)
dim(jobs_df)

There is no data for anything past the 4th description

#split dataframe into new dataframes based on job description
library(dplyr)
master_df <- jobs_df %>%
  group_by(Job)

group_split(master_df)

<list_of<
  tbl_df<
    Job        : character
    State      : character
    Employment : character
    Description: character
    Year       : double
  >
>[16]>
[[1]]

[[2]]

[[3]]

[[4]]

[[5]]

[[6]]

[[7]]

[[8]]

[[9]]

[[10]]

[[11]]

[[12]]

[[13]]

[[14]]

[[15]]

[[16]]

group_keys(master_df)